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1 - 3 of 3 results for: CS106X

CS 41: Hap.py Code: The Python Programming Language

The fundamentals and contemporary usage of the Python programming language. Primary focus is on developing best practices in writing Python and exploring the extensible and unique parts of the Python language. Topics include: Pythonic conventions, data structures such as list comprehensions, anonymous functions, iterables, and powerful built-ins (e.g. map, filter, zip). We will also focus on data analysis tools including NumPy, Pandas, Matplotlib, and Scikit-learn for their application in machine learning. Prerequisite: CS106B, CS106X, or equivalent. Application required.
Terms: Win | Units: 2
Instructors: Cain, J. (PI)

CS 106S: Coding for Social Good

Survey course on applications of fundamental computer science concepts from CS 106B/X to problems in the social good space (such as health, government, education, and environment). Each week consists of in-class activities designed by student groups, local tech companies, and nonprofits. Introduces students to JavaScript and the basics of web development. Some of the topics we will cover include mental health chatbots, tumor classification with basic machine learning, sentiment analysis of tweets on refugees, and storytelling through virtual reality. Pre/Corequisite: CS106B or CS106X.
Terms: Win, Spr | Units: 1
Instructors: Cain, J. (PI)

CS 106X: Programming Abstractions (Accelerated)

Intensive version of 106B for students with a strong programming background interested in a rigorous treatment of the topics at an accelerated pace. Significant amount of additional advanced material and substantially more challenging projects. Some projects may relate to CS department research. Prerequisite: excellence in 106A or equivalent, or consent of instructor.
Terms: Aut | Units: 3-5 | UG Reqs: GER:DB-EngrAppSci, WAY-FR
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